Diet Modifies Colonic Microbiota and CD4 <sup>+</sup> T Cell Repertoire to Trigger Flares in a Novel Model of Colitis Induced by IL-23
Bibliographic record
Abstract
Abstract A wealth of experimental data points to immunological and environmental factors in the pathogenesis of inflammatory bowel disease (IBD). Here we study the role of IL-23, the microbiome, and the diet in the development of colitis. To promote IL-23 expression in vivo, we generated a mouse model in which IL-23 was conditionally expressed by CX 3 CR1 + myeloid cells, upon cyclic administration of tamoxifen in a specific diet (diet 2019). IL-23 expression induced an intestinal inflammatory disease that resembled ulcerative colitis in humans with cycles of acute disease and remission. The relapses were caused by the diet switch from the conventional diet used in our facility (diet 5053) to the diet 2019, and were not dependent on tamoxifen after the first cycle. The switch in the diet modified the microbiota, but did not alter the levels of IL-23. Colitis induction depended on the microbiota and required CD4 T lymphocytes. Colitis-inducing CD4 + T cells were found in the mesenteric lymph node and large intestine during remission and were able to trigger disease when transferred to lymphopenic mice, but only upon diet modification. The CD4 TCR repertoire in the diseased recipient Rag -/- mice had reduced diversity associated with the expansion of dominant T cell clones. These findings reveal a critical role for IL-23 in generation of a CD4 + T cell population in mice that is sensitive to a modification of intestinal bacterial flora subsequent to a dietary manipulation. Dietary changes occurring in the context of altered IL-23 expression may contribute to the onset and progression of IBD.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".